Instructions to use EleutherAI/pythia-1b-deduped-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use EleutherAI/pythia-1b-deduped-v0 with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="EleutherAI/pythia-1b-deduped-v0", device_map="auto")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("EleutherAI/pythia-1b-deduped-v0")
model = AutoModelForCausalLM.from_pretrained("EleutherAI/pythia-1b-deduped-v0", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use EleutherAI/pythia-1b-deduped-v0 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "EleutherAI/pythia-1b-deduped-v0"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "EleutherAI/pythia-1b-deduped-v0",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/EleutherAI/pythia-1b-deduped-v0

SGLang

How to use EleutherAI/pythia-1b-deduped-v0 with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "EleutherAI/pythia-1b-deduped-v0" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "EleutherAI/pythia-1b-deduped-v0",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "EleutherAI/pythia-1b-deduped-v0" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "EleutherAI/pythia-1b-deduped-v0",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use EleutherAI/pythia-1b-deduped-v0 with Docker Model Runner:
```
docker model run hf.co/EleutherAI/pythia-1b-deduped-v0
```

hails commited on Nov 17, 2022

Commit

e188da2

1 Parent(s): 3d548d4

Upload config.json

Browse files

Files changed (1) hide show

config.json +3 -2

config.json CHANGED Viewed

@@ -2,7 +2,7 @@
   "architectures": [
     "GPTNeoXForCausalLM"
   ],
-  "bos_token_id": 1,
   "eos_token_id": 0,
   "hidden_act": "gelu",
   "hidden_size": 2048,
@@ -17,7 +17,8 @@
   "rotary_pct": 0.25,
   "tie_word_embeddings": false,
   "torch_dtype": "float16",
-  "transformers_version": "4.22.2",
   "use_cache": true,
   "vocab_size": 50304
 }

   "architectures": [
     "GPTNeoXForCausalLM"
   ],
+  "bos_token_id": 0,
   "eos_token_id": 0,
   "hidden_act": "gelu",
   "hidden_size": 2048,
   "rotary_pct": 0.25,
   "tie_word_embeddings": false,
   "torch_dtype": "float16",
+  "transformers_version": "4.24.0",
   "use_cache": true,
+  "use_parallel_residual": true,
   "vocab_size": 50304
 }